zoahmed-xyz / spotmyfm

A Spotify Library manager supported by Artificial Intelligence

SpotMyFM

A Spotify Library Manager

Check SpotMyFM at spotmyfm.jorgeruizdev.com

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¿What is SpotMyFM?

SpotMyFM is a Spotify Library Manager supported by artificial intelligence algorithms.

Please check the Users Manual for a detailed explanation of each of the features.

Some of the features are:

• Advanced Library Filters. Filter by popularity, moods, LastFM community tags, release date intervals or even genres!
• Deep Learning Track Analysis. Analyze any track with just a music file! Extract genres, subgenres and even moods😀!
• Track Recommendatios. SpotMyFM has a small collection of 30k songs to recommend. This recommendations are based on sound features, like Tempo, Beats and their power spectrogram.
• Playlist Creation. Create or extend an existing playlist with track recommendations or filter results.
• Library/Playlist Stats. Explore your personal stats like favourite genres, musical taste changes over time or mood and decades distribution.
• Track/Album/Artist/Playlist details. Navigate through your library! Explore all the tracks of a playlist, albums of an artist or even the tracks of each album with the details view. Read about the history of a band or album, get new recommendations or just check their genres, subgenres or moods!
• Tag your album. Tag and filter your album with custom strings that identify each album.

And many more!

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Datasets

Three datasets were created through the development of this project. Two of them are published at Kaggle

Ludwig Dataset - Genres, Subgenred & Moods - 13k+ Songs (Kaggle)

This is the main dataset that has been used to train all the neural networks

Gtzan Extended Dataset - 3k Songs Dataset (Kagggle)

This dataset has been used to initialize the weights of the main neural network.

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Teaser

Architecture